in Operador

The following query uses the in operator to search the birthdate field, which contains a single value, for customers who were born on given dates. The query uses the $project stage to:

• Omitir el campo _id en los resultados.

• Incluye solo los campos name y birthdate en los resultados.

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db.customers.aggregate([
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  {
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    "$search": {
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      "in": {
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        "path": "birthdate",
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        "value": [ISODate("1977-03-02T02:20:31.000+00:00"), ISODate("1977-03-01T00:00:00.000+00:00"), ISODate("1977-05-06T21:57:35.000+00:00")]
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      }
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    }
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  },
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  {
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    "$project": {
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      "_id": 0,
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      "name": 1,
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      "birthdate": 1
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    }
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  }
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])

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[
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  {
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    name: 'Elizabeth Ray',
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    birthdate: ISODate("1977-03-02T02:20:31.000Z")
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  },
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  {
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    name: 'Brad Cardenas',
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    birthdate: ISODate("1977-05-06T21:57:35.000Z")
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  }
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]

MongoDB Search devuelve dos documentos que coinciden con las fechas especificadas en la query.

The following query uses the in operator to query the accounts field, which contains an array of numbers, for customers with account numbers 371138, 371139, or 371140. The query uses the $project stage to:

• Omitir el campo _id en los resultados.

• Incluye solo los campos name y accounts en los resultados.

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db.customers.aggregate([
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  {
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    "$search": {
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      "in": {
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        "path": "accounts",
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        "value": [371138, 371139, 371140]
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      }
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    }
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  },
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  {
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    "$project": {
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      "_id": 0,
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      "name": 1,
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      "accounts": 1
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    }
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  }
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])

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[
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  {
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    name: 'Elizabeth Ray',
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    accounts: [ 371138, 324287, 276528, 332179, 422649, 387979 ]
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  }
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]

MongoDB Search sólo devuelve un documento que coincide con el número de cuenta 371138 especificado en la consulta.

The following query uses the text operator to query for customers whose first name is James in the name field. The query specifies preference using the in operator for customers associated with the given objectIds in the _id field. The query uses $limit stage to limit the output to 5 results and the $project stage to:

• Incluye solo los campos _id y name en los resultados.

• Agrega un campo llamado score a los resultados.

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db.customers.aggregate([
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  {
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    "$search": {
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      "compound": {
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        "must": [{
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          "in": {
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            "path": "name",
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            "value": ["james sanchez", "jennifer lawrence"]
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          }
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        }],
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        "should": [{
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          "in": {
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            "path": "_id",
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            "value": [ObjectId("5ca4bbcea2dd94ee58162a72"), ObjectId("5ca4bbcea2dd94ee58162a91")]
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          }
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        }]
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      }
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    }
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  },
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  {
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    "$limit": 5
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  },
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  {
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    "$project": {
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      "_id": 1,
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      "name": 1,
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      "score": { $meta: "searchScore" }
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    }
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  }
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])

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[
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  {
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    _id: ObjectId("5ca4bbcea2dd94ee58162a72"),
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    name: 'James Sanchez',
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    score: 2
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  },
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  {
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    _id: ObjectId("5ca4bbcea2dd94ee58162a71"),
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    name: 'Jennifer Lawrence',
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    score: 1
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  }
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]

MongoDB Search devuelve documentos que contienen James Sanchez y Jennifer Lawrence en el campo name. MongoDB Search asigna una puntuación más alta al documento que contiene name: 'James Sanchez' porque coincide con el ObjectId especificado en la cláusula should.